Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
8.3
4.2
Journals
Remote Sensing
Special Issues
Remote Sensing of High Winds and High Seas
remotesensing-logo
Submit to Special Issue Submit Abstract to Special Issue Review for Remote Sensing Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Remote Sensing of High Winds and High Seas

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Ocean Remote Sensing".

Deadline for manuscript submissions: 20 November 2024 | Viewed by 2428

Special Issue Editors

Prof. Dr. Mark Bourassa

E-Mail Website
Guest Editor
Department of Earth, Ocean and Atmospheric Science, Florida State University, EOAS Building 1011 Academic Way, Tallahassee, FL 32306, USA
Interests: remote sensing of the surface and boundary layer; boundary layers (ocean and atmosphere); air–sea interaction; the observing system
Special Issues, Collections and Topics in MDPI journals
Dr. Marcos Portabella

E-Mail Website
Guest Editor
Institut de Ciѐncies del Mar (ICM-CSIC), Pg. Marítim de la Barceloneta 37-49, 08003 Barcelona, Spain
Interests: satellite remote sensing; data assimilation; air–sea interactions; moist convection; extreme weather; oceanography; scatterometry; synthetic aperture radars; GNSS-R; microwave radiometry; sea surface wind, wind stress, salinity and sea ice parameter retrievals; geophysical data interpretation; calibration/validation; forward modelling; measurement error modelling; quality control; non-linear inversion
Dr. Lucrezia Ricciardulli

E-Mail Website
Guest Editor
Remote Sensing Systems, 444 10th St, Suite 200, Santa Rosa, CA 95401, USA
Interests: ocean vector wind retrievals from space; development of scatterometer geophysical model functions; climate data records; satellite data intercalibration; calibration/validation of wind data including hurricane force winds; water cycle and atmospheric circulation variability; statistical, spectral and climate analysis of large datasets
Special Issues, Collections and Topics in MDPI journals
Dr. Zorana Jelenak

E-Mail Website
Guest Editor
CPASS, UCAR—NESDIS/NOAA/STAR, College Park, MD 20740, USA
Interests: satellite remote sensing of winds and waves; tropical and extratropical cyclones; radar and radiometer calibration; scatterometer, radiometer and GNSS-R measurement techniques; forward modeling; retrieval methodologies; geophysical data interpretation; data applications
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue focuses on the remote sensing of the ocean, ocean surface and atmosphere related to extreme weather. This includes remote sensing in or below the storm, as well as remote sensing of phenomena generated by a severe storm. It covers remote sensing techniques, processes determined from remote sensing and operational applications of remote sensing.

Prof. Dr. Mark Bourassa
Dr. Marcos Portabella
Dr. Lucrezia Ricciardulli
Dr. Zorana Jelenak
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • remote sensing
  • extreme weather
  • surface winds
  • tropical and extratropical cyclones
  • waves
  • currents
  • vertical motion
  • storm wake anomalies
  • extreme air–sea fluxes

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (3 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

19 pages, 11449 KiB  
Article
Near-Inertial Oscillations Induced by Winter Monsoon Onset in the Southwest Taiwan Strait
by Xiaolin Peng, Li Wang, Xiongbin Wu and Weihua Ai
Remote Sens. 2024, 16(22), 4284; https://doi.org/10.3390/rs16224284 - 17 Nov 2024
Viewed by 173
Abstract
The near-inertial motion in ocean surface currents directly reflects the energy transported by wind towards the surface layer, playing an important role in climate regulation and energy balance. Previous studies have mainly focused on near inertial oscillations (NIOs) induced by tropical cyclones in [...] Read more.
The near-inertial motion in ocean surface currents directly reflects the energy transported by wind towards the surface layer, playing an important role in climate regulation and energy balance. Previous studies have mainly focused on near inertial oscillations (NIOs) induced by tropical cyclones in the Taiwan Strait, with few reports on near inertial oscillations induced by monsoon onset. Using high-frequency radar observations, we detected an amplification of NIOs induced by the winter monsoon onset. While not as strong as NIOs induced by tropical cyclones, the near-inertial current (NIC) induced by winter monsoon onset in the Taiwan Strait has peak speeds reaching up to 5.2 cm/s and explaining up to 0.7% of non-tidal variance. This study presents observational results of NIOs during three monsoon onset events, and analyzes the impact of winds and temperature changes on NIOs. Temporal and spectral analysis reveals that the monsoon onset is the primary driver behind the formation of NIOs. Results indicate that near-inertial kinetic energy is relatively lower in shallower waters, such as the Taiwan Bank, compared to deeper regions. Furthermore, by integrating the air and sea surface temperature from reanalysis products, we have examined the abrupt changes in sea surface temperature (SST) before and after monsoon onset and their correlation with NIOs. The findings suggest that temperature falling favors the intensification of NICs during monsoon onset, and a lack of significant SST changes precludes the triggering of notable NICs. These insights enhance our understanding of the mechanisms driving NIOs and their roles in seawater mixing. Full article
(This article belongs to the Special Issue Remote Sensing of High Winds and High Seas)
►▼ Show Figures

Figure 1

11 pages, 14937 KiB  
Communication
The Value of Sentinel-1 Ocean Wind Fields Component for the Study of Polar Lows
by Eduard Khachatrian and Patricia Asemann
Remote Sens. 2024, 16(20), 3755; https://doi.org/10.3390/rs16203755 - 10 Oct 2024
Viewed by 527
Abstract
Polar lows can pose serious threats to maritime operations and coastal communities in polar regions, especially due to their extreme wind speeds. The accurate and reliable representation of their wind field thus plays a crucial role in forecasting and mitigating the risks associated [...] Read more.
Polar lows can pose serious threats to maritime operations and coastal communities in polar regions, especially due to their extreme wind speeds. The accurate and reliable representation of their wind field thus plays a crucial role in forecasting and mitigating the risks associated with this phenomenon. This study aims to evaluate the value of the SAR-based Sentinel-1 Ocean Wind Field product compared to two reanalysis products—regional CARRA and global ERA5—in studying the spatial wind speed distribution of polar lows. A visual comparison of the wind direction and wind speed fields was performed, as well as a brief quantitative analysis of wind speeds. Despite notable differences in spatial resolution, all of the data sources are able to identify the polar lows. However, the SAR-based product remains unmatched in capturing the intricate structure of the wind field. Although CARRA resolves more details than ERA5, it still deviates from the SAR image to a degree that suggests that the difference in spatial resolution is not the only source of disparity between the sources. Both CARRA and ERA5 underestimate the maximum wind speed as compared to the SAR data. Only the SAR data seems capable of providing the information necessary to study the details of the wind field of polar lows. Full article
(This article belongs to the Special Issue Remote Sensing of High Winds and High Seas)
►▼ Show Figures

Figure 1

25 pages, 5017 KiB  
Article
Variability Assessment of Global Extreme Coastal Sea Levels Using Altimetry Data
by Hector Lobeto and Melisa Menendez
Remote Sens. 2024, 16(8), 1355; https://doi.org/10.3390/rs16081355 - 12 Apr 2024
Cited by 1 | Viewed by 1241
Abstract
This study assesses the variability of coastal extreme sea levels globally by utilizing nearly three decades of along-track, multi-mission satellite altimetry data. An altimetry-based global coastal database of the non-tidal residual sea level component has been produced. The climate variability of extremes is [...] Read more.
This study assesses the variability of coastal extreme sea levels globally by utilizing nearly three decades of along-track, multi-mission satellite altimetry data. An altimetry-based global coastal database of the non-tidal residual sea level component has been produced. The climate variability of extremes is modeled through a parametric, non-stationary statistical model. This model captures intra-annual, inter-annual and long-term variations in non-tidal residual return levels. Comparisons with tide gauge data demonstrate the ability of altimetry data to capture the variability of coastal extreme sea levels. Our findings reveal a greater complexity in the monthly variability patterns of non-tidal residual extremes in tropical latitudes, often exhibiting multiple storm periods, contrasting with coasts in extratropical latitudes, which are mostly controlled by a winter–summer pattern. This study also highlights the significant influence of established climate circulation patterns on sea level extremes. The positive phase of the Arctic Oscillation pattern leads to increases of over 25% in non-tidal residual return levels in Northwestern Europe with respect to a neutral phase. Furthermore, return levels in the western coast of Central America could be 50% higher during El Niño compared to La Niña. Our results show a robust increasing trend in non-tidal residual return levels along most global coastlines. A comparative analysis shows that variations during the 1995–2020 period were primarily driven by intra-annual variations. Full article
(This article belongs to the Special Issue Remote Sensing of High Winds and High Seas)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-3
Back to TopTop